This draws on Matt’s code for reading the data and the like.
We read in the datasets created using the pilot0_data_cleaning.Rmd file.
We now drop the “nrc” columns because we won’t use them.
This section will start by closely following Mair (2018) Chapter 4.
## $prlin_list
## $prlin_list$Belief
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.772
## Number of iterations: 23
##
## Eigenvalues: 3.156 1.404
##
##
## $prlin_list$Intrinsic
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.643
## Number of iterations: 15
##
## Eigenvalues: 4.343 0.655
##
##
## $prlin_list$Extrinsic
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.731
## Number of iterations: 13
##
## Eigenvalues: 2.956 1.347
##
##
## $prlin_list$Utility
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.671
## Number of iterations: 10
##
## Eigenvalues: 4.265 1.005
##
##
## $prlin_list$Attain
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.723
## Number of iterations: 15
##
## Eigenvalues: 2.574 1.298
##
##
## $prlin_list$Interest
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.64
## Number of iterations: 10
##
## Eigenvalues: 5.515 0.963
## $prlin_list
## $prlin_list$AcadSC
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.738
## Number of iterations: 21
##
## Eigenvalues: 3.569 1.146
##
##
## $prlin_list$Attain
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.713
## Number of iterations: 12
##
## Eigenvalues: 2.521 1.503
##
##
## $prlin_list$StatSC
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.697
## Number of iterations: 37
##
## Eigenvalues: 4.573 0.881
##
##
## $prlin_list$Difficult
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.7
## Number of iterations: 34
##
## Eigenvalues: 3.234 0.97
##
##
## $prlin_list$Expectancy
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.76
## Number of iterations: 35
##
## Eigenvalues: 4.254 1.026
##
##
## $prlin_list$Cost
## Call:
## Gifi::princals(data = dat[, grepl(scale.names[i], names(dat))],
## knots = knotsexp, degrees = 1)
##
## Loss value: 0.671
## Number of iterations: 51
##
## Eigenvalues: 3.685 0.919
The following items should be dropped based on the results:
## [1] "===================================="
## [1] "Belief"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## Warning in ltm::gpcm(dat.tmp): Not successful convergence: 127.
## [1] "Belief: GPCM preferred based on LR test (to the PCM)."
## [1] "Belief: AIC for PCM = 39311.7206032831"
## [1] "Belief: AIC for GPCM = 37065.202619307"
## [1] "Belief: AIC for GRM = 36752.7727959302"
## [1] "GRM preferred based on AIC"
## [1] "Belief: BIC for PCM = 39615.7086214914"
## [1] "Belief: BIC for GPCM = 37419.8553072166"
## [1] "Belief: BIC for GRM = 37107.4254838398"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Intrinsic"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Intrinsic: GPCM preferred based on LR test (to the PCM)."
## [1] "Intrinsic: AIC for PCM = 25231.3013600355"
## [1] "Intrinsic: AIC for GPCM = 25189.8952601719"
## [1] "Intrinsic: AIC for GRM = 24973.7007361583"
## [1] "GRM preferred based on AIC"
## [1] "Intrinsic: BIC for PCM = 25444.0929727812"
## [1] "Intrinsic: BIC for GPCM = 25438.1521417086"
## [1] "Intrinsic: BIC for GRM = 25221.957617695"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Extrinsic"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Extrinsic: GPCM preferred based on LR test (to the PCM)."
## [1] "Extrinsic: AIC for PCM = 30955.0339362373"
## [1] "Extrinsic: AIC for GPCM = 30160.0033902848"
## [1] "Extrinsic: AIC for GRM = 30108.1052547675"
## [1] "GRM preferred based on AIC"
## [1] "Extrinsic: BIC for PCM = 31198.2243508039"
## [1] "Extrinsic: BIC for GPCM = 30443.7255406125"
## [1] "Extrinsic: BIC for GRM = 30391.8274050952"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Utility"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Utility: GPCM preferred based on LR test (to the PCM)."
## [1] "Utility: AIC for PCM = 28411.2428029154"
## [1] "Utility: AIC for GPCM = 28300.662281937"
## [1] "Utility: AIC for GRM = 27900.2648929763"
## [1] "GRM preferred based on AIC"
## [1] "Utility: BIC for PCM = 28654.433217482"
## [1] "Utility: BIC for GPCM = 28584.3844322646"
## [1] "Utility: BIC for GRM = 28183.987043304"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Attain"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Attain: GPCM preferred based on LR test (to the PCM)."
## [1] "Attain: AIC for PCM = 28845.8115121386"
## [1] "Attain: AIC for GPCM = 27921.2078403712"
## [1] "Attain: AIC for GRM = 27819.5287214923"
## [1] "GRM preferred based on AIC"
## [1] "Attain: BIC for PCM = 29058.6031248843"
## [1] "Attain: BIC for GPCM = 28169.4647219079"
## [1] "Attain: BIC for GRM = 28067.785603029"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Interest"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Interest: GPCM preferred based on LR test (to the PCM)."
## [1] "Interest: AIC for PCM = 33196.855729489"
## [1] "Interest: AIC for GPCM = 32920.7951625924"
## [1] "Interest: AIC for GRM = 32356.0605503125"
## [1] "GRM preferred based on AIC"
## [1] "Interest: BIC for PCM = 33470.4449458764"
## [1] "Interest: BIC for GPCM = 33239.982581711"
## [1] "Interest: BIC for GRM = 32675.2479694311"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "AcadSC"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## Warning in ltm::gpcm(dat.tmp): Not successful convergence: 105.
## [1] "AcadSC: GPCM preferred based on LR test (to the PCM)."
## [1] "AcadSC: AIC for PCM = 28999.6612904891"
## [1] "AcadSC: AIC for GPCM = 28592.1363435735"
## [1] "AcadSC: AIC for GRM = 28318.0139962465"
## [1] "GRM preferred based on AIC"
## [1] "AcadSC: BIC for PCM = 29273.3885555243"
## [1] "AcadSC: BIC for GPCM = 28911.484819448"
## [1] "AcadSC: BIC for GRM = 28637.3624721209"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Attain"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Attain: GPCM preferred based on LR test (to the PCM)."
## [1] "Attain: AIC for PCM = 28752.4413562791"
## [1] "Attain: AIC for GPCM = 27592.5587563126"
## [1] "Attain: AIC for GRM = 27523.0487058624"
## [1] "GRM preferred based on AIC"
## [1] "Attain: BIC for PCM = 28965.3403401954"
## [1] "Attain: BIC for GPCM = 27840.9409042149"
## [1] "Attain: BIC for GRM = 27771.4308537647"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "StatSC"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "StatSC: GPCM preferred based on LR test (to the PCM)."
## [1] "StatSC: AIC for PCM = 32013.0589225334"
## [1] "StatSC: AIC for GPCM = 31717.1834206367"
## [1] "StatSC: AIC for GRM = 31504.6465825815"
## [1] "GRM preferred based on AIC"
## [1] "StatSC: BIC for PCM = 32286.7861875687"
## [1] "StatSC: BIC for GPCM = 32036.5318965111"
## [1] "StatSC: BIC for GRM = 31823.9950584559"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Difficult"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Difficult: GPCM preferred based on LR test (to the PCM)."
## [1] "Difficult: AIC for PCM = 26567.1562385134"
## [1] "Difficult: AIC for GPCM = 26114.158648926"
## [1] "Difficult: AIC for GRM = 25982.2337043468"
## [1] "GRM preferred based on AIC"
## [1] "Difficult: BIC for PCM = 26780.0552224296"
## [1] "Difficult: BIC for GPCM = 26362.5407968284"
## [1] "Difficult: BIC for GRM = 26230.6158522491"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Expectancy"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Expectancy: GPCM preferred based on LR test (to the PCM)."
## [1] "Expectancy: AIC for PCM = 38569.7468932551"
## [1] "Expectancy: AIC for GPCM = 38126.8138233815"
## [1] "Expectancy: AIC for GRM = 37798.4546486401"
## [1] "GRM preferred based on AIC"
## [1] "Expectancy: BIC for PCM = 38904.3024394093"
## [1] "Expectancy: BIC for GPCM = 38517.128627228"
## [1] "Expectancy: BIC for GRM = 38188.7694524866"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
## [1] "===================================="
## [1] "Cost"
## [1] "Fitting GRM"
## [1] "Fitting PCM"
## [1] "Fitting GPCM"
## [1] "Cost: GPCM preferred based on LR test (to the PCM)."
## [1] "Cost: AIC for PCM = 26686.3887450126"
## [1] "Cost: AIC for GPCM = 26252.2728510383"
## [1] "Cost: AIC for GRM = 26046.7487960303"
## [1] "GRM preferred based on AIC"
## [1] "Cost: BIC for PCM = 26899.2877289289"
## [1] "Cost: BIC for GPCM = 26500.6549989407"
## [1] "Cost: BIC for GRM = 26295.1309439327"
## [1] "GRM preferred based on BIC"
## [1] "GRM preferred based on AIC and BIC"
| item | outfit | z.outfit | infit | z.infit | S_X2 | df.S_X2 | RMSEA.S_X2 | p.S_X2 |
|---|---|---|---|---|---|---|---|---|
| Belief_1 | 0.9083373 | -1.6936425 | 0.8745332 | -2.5503835 | 149.05323 | 107 | 0.0183202 | 0.0045209 |
| Belief_2rc | 0.9998365 | 0.0055966 | 0.9997730 | 0.0036146 | 143.97737 | 146 | 0.0000000 | 0.5318197 |
| Belief_3rc | 1.1016261 | 1.6802583 | 0.9672486 | -0.6376904 | 130.22594 | 103 | 0.0150243 | 0.0361576 |
| Belief_4rc | 1.0103483 | 0.3283426 | 1.0054998 | 0.1805490 | 193.54223 | 132 | 0.0199536 | 0.0003893 |
| Belief_5rc | 1.0001663 | 0.0162170 | 0.9995149 | -0.0029613 | 181.06521 | 151 | 0.0130396 | 0.0479821 |
| Belief_6 | 0.9517347 | -0.8175157 | 0.8817963 | -2.1176724 | 120.13443 | 93 | 0.0157848 | 0.0306473 |
| Belief_7 | 0.8821675 | -1.9135571 | 0.8761257 | -2.1442445 | 90.87173 | 85 | 0.0076806 | 0.3116276 |
| Belief_8 | 0.9271236 | -1.0637218 | 0.9314208 | -1.0228932 | 133.92857 | 90 | 0.0204161 | 0.0018454 |
| Belief_9 | 0.8536343 | -2.6464732 | 0.8715846 | -2.4058504 | 126.87179 | 103 | 0.0140684 | 0.0553164 |
| Belief_10rc | 0.9978476 | -0.0618087 | 0.9977606 | -0.0647792 | 198.72471 | 149 | 0.0168816 | 0.0040424 |
| Intrinsic_1 | 0.9560248 | -0.7748749 | 0.8904845 | -2.3628270 | 96.60992 | 99 | 0.0000000 | 0.5492416 |
| Intrinsic_2 | 0.8773300 | -2.3189473 | 0.8963590 | -2.2246359 | 130.35669 | 110 | 0.0125713 | 0.0900895 |
| Intrinsic_3 | 0.8293959 | -3.3139106 | 0.8543568 | -3.0272872 | 83.44789 | 89 | 0.0000000 | 0.6461220 |
| Intrinsic_4 | 0.8810396 | -2.3017103 | 0.8827254 | -2.5082766 | 114.62498 | 98 | 0.0120362 | 0.1203374 |
| Intrinsic_5 | 0.8984186 | -2.0188935 | 0.8867552 | -2.4824198 | 122.16802 | 96 | 0.0152571 | 0.0369652 |
| Intrinsic_6 | 0.8797606 | -2.3087878 | 0.8944218 | -2.5289181 | 111.40346 | 100 | 0.0098682 | 0.2048798 |
| Intrinsic_7 | 0.8859903 | -2.0757220 | 0.8911516 | -2.2235199 | 134.99232 | 103 | 0.0162864 | 0.0188503 |
| Extrinsic_1 | 0.8102723 | -3.7181299 | 0.8396056 | -3.4335708 | 120.65046 | 111 | 0.0086166 | 0.2500693 |
| Extrinsic_2 | 0.9176694 | -1.6530776 | 0.9458213 | -1.1478379 | 214.06011 | 147 | 0.0197376 | 0.0002557 |
| Extrinsic_3 | 0.9184093 | -1.5040334 | 0.9569747 | -0.8523050 | 140.16969 | 139 | 0.0026807 | 0.4562335 |
| Extrinsic_4 | 0.8136503 | -3.8517401 | 0.7971410 | -4.5651554 | 128.64084 | 108 | 0.0127754 | 0.0855815 |
| Extrinsic_5 | 0.6937860 | -6.1001272 | 0.6995595 | -6.7074287 | 119.82509 | 96 | 0.0145580 | 0.0502953 |
| Extrinsic_6 | 0.9338412 | -1.7504248 | 0.9404056 | -1.6590664 | 128.96770 | 121 | 0.0074989 | 0.2932223 |
| Extrinsic_7 | 0.9427514 | -1.4531009 | 0.9600178 | -1.0877258 | 165.72214 | 141 | 0.0122364 | 0.0759066 |
| Extrinsic_8 | 0.9136457 | -1.6032809 | 0.9561762 | -0.8368909 | 178.45339 | 120 | 0.0203956 | 0.0004297 |
| Utility_1 | 0.8933819 | -1.8910613 | 0.8931276 | -2.1368886 | 123.45723 | 102 | 0.0134032 | 0.0729471 |
| Utility_2 | 1.0165066 | 0.3158584 | 0.9415052 | -1.1704696 | 114.53494 | 121 | 0.0000000 | 0.6480886 |
| Utility_3rc | 0.9347521 | -0.9837964 | 0.8936473 | -2.0546240 | 111.32986 | 96 | 0.0116776 | 0.1356840 |
| Utility_4 | 0.8987338 | -1.7410066 | 0.8785894 | -2.2526897 | 128.46445 | 99 | 0.0159424 | 0.0248519 |
| Utility_5rc | 1.3782258 | 5.6383219 | 1.0128660 | 0.2673682 | 125.83880 | 109 | 0.0114859 | 0.1289980 |
| Utility_6 | 0.9682190 | -0.5777702 | 0.9456005 | -1.0904806 | 130.19154 | 114 | 0.0110132 | 0.1425248 |
| Utility_7 | 0.9817641 | -0.3558544 | 0.9509363 | -1.0735685 | 116.08069 | 119 | 0.0000000 | 0.5586237 |
| Utility_8rc | 1.0246479 | 0.4043017 | 0.9626254 | -0.7324305 | 130.12121 | 108 | 0.0132256 | 0.0724465 |
| Attain_1rc | 0.9611892 | -0.9860154 | 0.9577044 | -1.0949880 | 123.93309 | 114 | 0.0086260 | 0.2471446 |
| Attain_2rc | 0.7812977 | -4.8981223 | 0.7992143 | -5.3131756 | 108.48518 | 103 | 0.0067437 | 0.3365643 |
| Attain_3rc | 0.7287467 | -5.0214768 | 0.7143009 | -6.0456291 | 103.43563 | 97 | 0.0075272 | 0.3085941 |
| Attain_4 | 0.8194747 | -4.2361412 | 0.8314721 | -4.1628449 | 102.92532 | 105 | 0.0000000 | 0.5390414 |
| Attain_5 | 0.9505666 | -0.7909762 | 0.9571279 | -0.7253576 | 159.86204 | 118 | 0.0174057 | 0.0062325 |
| Attain_6 | 0.9229012 | -1.9427080 | 0.9269244 | -1.9389174 | 115.11498 | 120 | 0.0000000 | 0.6089226 |
| Attain_7 | 0.9976777 | -0.0668475 | 0.9938178 | -0.1952460 | 176.19524 | 142 | 0.0143404 | 0.0271330 |
| Interest_1rc | 1.0426400 | 0.8422140 | 1.0067271 | 0.1710960 | 184.18455 | 155 | 0.0126804 | 0.0546919 |
| Interest_2 | 0.9307994 | -1.2323996 | 0.9161723 | -1.8322180 | 124.11891 | 120 | 0.0054140 | 0.3798707 |
| Interest_3rc | 0.9909853 | -0.1237327 | 0.9473488 | -1.1154879 | 112.86304 | 112 | 0.0025652 | 0.4593582 |
| Interest_4 | 0.9509119 | -0.9623967 | 0.9351820 | -1.4578056 | 139.53833 | 132 | 0.0069835 | 0.3098566 |
| Interest_5 | 0.7997963 | -1.7978818 | 0.8472844 | -3.2910023 | 112.13000 | 101 | 0.0097008 | 0.2111116 |
| Interest_6 | 0.9879636 | -0.2115414 | 0.9529608 | -1.0098010 | 182.97559 | 126 | 0.0196508 | 0.0006921 |
| Interest_7rc | 1.4446757 | 7.5886167 | 1.1750784 | 3.8081690 | 268.30384 | 147 | 0.0265461 | 0.0000000 |
| Interest_8rc | 1.2307166 | 3.8484623 | 0.9810139 | -0.4144565 | 157.56207 | 145 | 0.0086014 | 0.2247438 |
| Interest_9 | 0.9620632 | -0.7434025 | 0.9526698 | -1.0939677 | 135.88219 | 134 | 0.0034634 | 0.4383596 |
| item | outfit | z.outfit | infit | z.infit | S_X2 | df.S_X2 | RMSEA.S_X2 | p.S_X2 |
|---|---|---|---|---|---|---|---|---|
| AcadSC_1 | 1.0135368 | 0.1483109 | 0.9724579 | -0.2364549 | 102.51773 | 61 | 0.0240779 | 0.0006971 |
| AcadSC_2 | 0.9422364 | -1.0829594 | 0.9419922 | -1.1310974 | 77.82917 | 84 | 0.0000000 | 0.6687593 |
| AcadSC_3 | 0.9293060 | -1.0687019 | 0.9498574 | -0.7703811 | 74.24581 | 72 | 0.0051545 | 0.4048978 |
| AcadSC_4 | 0.9197887 | -1.4728625 | 0.9321519 | -1.2918976 | 80.72873 | 86 | 0.0000000 | 0.6403239 |
| AcadSC_5rc | 0.9996524 | 0.0068842 | 0.9584833 | -1.0370712 | 106.47552 | 101 | 0.0067954 | 0.3353357 |
| AcadSC_6 | 0.8905609 | -1.5702298 | 0.9373729 | -0.9589105 | 95.33037 | 78 | 0.0137570 | 0.0886976 |
| AcadSC_7rc | 0.8948377 | -1.5374508 | 0.8939398 | -1.8452567 | 73.69678 | 74 | 0.0000000 | 0.4880755 |
| AcadSC_8rc | 0.9574289 | -1.2357586 | 0.9596394 | -1.1942121 | 145.52925 | 109 | 0.0168956 | 0.0111361 |
| AcadSC_9rc | 0.8272627 | -2.0824669 | 0.9057011 | -1.4356420 | 88.62651 | 70 | 0.0150551 | 0.0657570 |
| Attain_1rc | 0.9634807 | -0.9303761 | 0.9621610 | -0.9799001 | 123.77115 | 110 | 0.0103265 | 0.1744242 |
| Attain_2rc | 0.8385981 | -3.8975958 | 0.8460861 | -4.2595309 | 116.65711 | 100 | 0.0119115 | 0.1220743 |
| Attain_3rc | 0.6005479 | -8.1699974 | 0.6337194 | -8.3616910 | 95.45302 | 88 | 0.0084936 | 0.2753849 |
| Attain_4 | 0.8401770 | -3.6078193 | 0.8569057 | -3.3285562 | 124.71324 | 103 | 0.0134002 | 0.0716446 |
| Attain_5 | 0.9401552 | -0.9877468 | 0.9608592 | -0.6674221 | 106.34218 | 105 | 0.0032997 | 0.4450396 |
| Attain_6 | 0.8723513 | -3.0445502 | 0.8842693 | -2.9631540 | 118.49649 | 111 | 0.0075846 | 0.2957209 |
| Attain_7 | 0.9997867 | 0.0023717 | 0.9996636 | -0.0018577 | 166.39507 | 143 | 0.0118048 | 0.0879748 |
| StatSC_1 | 0.9469441 | -1.0050758 | 0.9476705 | -1.1032146 | 121.36563 | 122 | 0.0000000 | 0.4991892 |
| StatSC_2 | 0.7898828 | -4.2473277 | 0.7966599 | -4.5179768 | 100.93881 | 102 | 0.0000000 | 0.5110969 |
| StatSC_3 | 0.8733246 | -2.1641293 | 0.9367211 | -1.1220970 | 147.51844 | 118 | 0.0145973 | 0.0340915 |
| StatSC_4rc | 0.7809108 | -3.7154255 | 0.8108177 | -4.3623962 | 108.43566 | 100 | 0.0084767 | 0.2652186 |
| StatSC_5rc | 0.8486758 | -2.5504583 | 0.9121291 | -1.7634856 | 134.04473 | 116 | 0.0115110 | 0.1206897 |
| StatSC_6 | 0.9352988 | -1.2699613 | 0.9627186 | -0.8021607 | 138.38401 | 144 | 0.0000000 | 0.6163476 |
| StatSC_7rc | 0.8968812 | -2.2054105 | 0.8760044 | -2.9107588 | 115.21881 | 110 | 0.0063570 | 0.3478142 |
| StatSC_8rc | 0.9031984 | -1.9813380 | 0.9045994 | -2.2687630 | 120.03544 | 119 | 0.0027224 | 0.4561557 |
| StatSC_9rc | 0.9056372 | -1.8125412 | 0.9636489 | -0.7427572 | 167.93364 | 130 | 0.0157655 | 0.0140235 |
| Difficult_1rc | 0.8994795 | -1.7972848 | 0.9117084 | -1.7285947 | 132.16610 | 93 | 0.0189400 | 0.0047567 |
| Difficult_2 | 0.9392016 | -1.5293383 | 0.9372037 | -1.6303509 | 118.41825 | 105 | 0.0104332 | 0.1749557 |
| Difficult_3 | 0.6873437 | -5.5397552 | 0.7176398 | -6.8464315 | 103.18080 | 79 | 0.0161468 | 0.0352830 |
| Difficult_4rc | 0.9191751 | -1.7225404 | 0.9485975 | -1.1452820 | 121.70413 | 110 | 0.0095200 | 0.2097455 |
| Difficult_5 | 0.9376760 | -1.5712326 | 0.9446255 | -1.4634357 | 134.41535 | 125 | 0.0080099 | 0.2666179 |
| Difficult_6rc | 0.8459655 | -3.6540789 | 0.8630491 | -3.4127017 | 113.40772 | 93 | 0.0136717 | 0.0739260 |
| Difficult_7rc | 0.7871466 | -3.6531589 | 0.8125721 | -4.0539385 | 91.23919 | 82 | 0.0097966 | 0.2273409 |
| Expectancy_1rc | 0.9749908 | -0.5464644 | 0.9220012 | -1.9514578 | 155.18526 | 130 | 0.0128460 | 0.0652863 |
| Expectancy_2 | 0.9917171 | -0.1204180 | 0.9678448 | -0.5505685 | 94.61783 | 104 | 0.0000000 | 0.7338813 |
| Expectancy_3 | 0.8292210 | -2.8574838 | 0.9021057 | -1.6023107 | 83.21327 | 85 | 0.0000000 | 0.5345681 |
| Expectancy_4 | 0.9332060 | -1.1141467 | 0.9484059 | -0.8738699 | 93.26605 | 100 | 0.0000000 | 0.6699801 |
| Expectancy_5 | 0.9300896 | -1.5991827 | 0.9277239 | -1.7426933 | 113.32235 | 122 | 0.0000000 | 0.7006677 |
| Expectancy_6rc | 0.9660973 | -0.8624339 | 0.9514977 | -1.2911414 | 162.87970 | 140 | 0.0117985 | 0.0903571 |
| Expectancy_7 | 0.9949045 | -0.0957580 | 0.9643615 | -0.8169652 | 152.14021 | 138 | 0.0093423 | 0.1939304 |
| Expectancy_8 | 0.9585065 | -0.6927004 | 0.9448335 | -0.9941490 | 126.17388 | 112 | 0.0103825 | 0.1700656 |
| Expectancy_9 | 0.9404279 | -1.1441411 | 0.9155781 | -1.7568315 | 98.97153 | 115 | 0.0000000 | 0.8567663 |
| Expectancy_10 | 0.8878383 | -1.7358686 | 0.9350613 | -1.0862907 | 146.79025 | 122 | 0.0131561 | 0.0626705 |
| Expectancy_11rc | 1.0452101 | 1.0077141 | 0.9996779 | 0.0058950 | 141.78317 | 134 | 0.0070338 | 0.3060521 |
| Cost_1 | 0.6401537 | -7.0811540 | 0.6714079 | -7.3641188 | 80.85900 | 77 | 0.0065337 | 0.3596280 |
| Cost_2 | 0.8242000 | -3.4187942 | 0.8334123 | -3.3781879 | 75.55022 | 78 | 0.0000000 | 0.5575190 |
| Cost_3rc | 1.0022898 | 0.0683396 | 0.9781998 | -0.5271049 | 111.76055 | 114 | 0.0000000 | 0.5418325 |
| Cost_4rc | 0.9516851 | -1.0803802 | 0.9293816 | -1.6501624 | 108.05241 | 108 | 0.0006429 | 0.4804817 |
| Cost_5rc | 0.9825171 | -0.4017883 | 0.9504320 | -1.2890030 | 131.57313 | 124 | 0.0072126 | 0.3037737 |
| Cost_6 | 0.9240229 | -1.5857455 | 0.9171237 | -1.8623706 | 110.32199 | 99 | 0.0098698 | 0.2053086 |
| Cost_7rc | 0.9313860 | -1.5299768 | 0.9531597 | -1.1592159 | 114.98325 | 128 | 0.0000000 | 0.7883876 |
| item | outfit | z.outfit | infit | z.infit | S_X2 | df.S_X2 | RMSEA.S_X2 | p.S_X2 |
|---|---|---|---|---|---|---|---|---|
| Belief_1 | 0.9069039 | -1.7200545 | 0.8740829 | -2.5593252 | 90.10841 | 71 | 0.0151602 | 0.0625662 |
| Belief_3rc | 1.1083230 | 1.7928611 | 0.9691768 | -0.5999676 | 85.19639 | 73 | 0.0119447 | 0.1556350 |
| Belief_6 | 0.9473761 | -0.8961687 | 0.8774409 | -2.2029555 | 86.61001 | 64 | 0.0173693 | 0.0314704 |
| Belief_7 | 0.8720189 | -2.0925514 | 0.8738243 | -2.1910866 | 77.89723 | 62 | 0.0147974 | 0.0838164 |
| Belief_8 | 0.9219549 | -1.1443943 | 0.9314873 | -1.0232153 | 66.59681 | 68 | 0.0000000 | 0.5254573 |
| Belief_9 | 0.8565927 | -2.5902785 | 0.8762626 | -2.3148009 | 80.03083 | 70 | 0.0110622 | 0.1932216 |
| Intrinsic_1 | 0.9560248 | -0.7748749 | 0.8904845 | -2.3628270 | 96.60992 | 99 | 0.0000000 | 0.5492416 |
| Intrinsic_2 | 0.8773300 | -2.3189473 | 0.8963590 | -2.2246359 | 130.35669 | 110 | 0.0125713 | 0.0900895 |
| Intrinsic_3 | 0.8293959 | -3.3139106 | 0.8543568 | -3.0272872 | 83.44789 | 89 | 0.0000000 | 0.6461220 |
| Intrinsic_4 | 0.8810396 | -2.3017103 | 0.8827254 | -2.5082766 | 114.62498 | 98 | 0.0120362 | 0.1203374 |
| Intrinsic_5 | 0.8984186 | -2.0188935 | 0.8867552 | -2.4824198 | 122.16802 | 96 | 0.0152571 | 0.0369652 |
| Intrinsic_6 | 0.8797606 | -2.3087878 | 0.8944218 | -2.5289181 | 111.40346 | 100 | 0.0098682 | 0.2048798 |
| Intrinsic_7 | 0.8859903 | -2.0757220 | 0.8911516 | -2.2235199 | 134.99232 | 103 | 0.0162864 | 0.0188503 |
| Extrinsic_1 | 0.7823215 | -4.3403026 | 0.8270469 | -3.7090091 | 128.48231 | 80 | 0.0227493 | 0.0004777 |
| Extrinsic_4 | 0.7884206 | -4.4699574 | 0.7795447 | -5.0029897 | 95.55652 | 78 | 0.0138642 | 0.0861812 |
| Extrinsic_5 | 0.6867238 | -6.4794078 | 0.6927442 | -6.9128231 | 129.37786 | 73 | 0.0256811 | 0.0000536 |
| Extrinsic_6 | 0.9192314 | -2.1107833 | 0.9284970 | -1.9763518 | 104.87774 | 94 | 0.0099409 | 0.2081531 |
| Extrinsic_7 | 0.9459849 | -1.3553161 | 0.9589658 | -1.1120190 | 138.82906 | 109 | 0.0152872 | 0.0283908 |
| Extrinsic_8 | 0.9066458 | -1.7174156 | 0.9530168 | -0.8965420 | 138.49241 | 95 | 0.0197727 | 0.0024114 |
| Utility_1 | 0.8933819 | -1.8910613 | 0.8931276 | -2.1368886 | 123.45723 | 102 | 0.0134032 | 0.0729471 |
| Utility_2 | 1.0165066 | 0.3158584 | 0.9415052 | -1.1704696 | 114.53494 | 121 | 0.0000000 | 0.6480886 |
| Utility_3rc | 0.9347521 | -0.9837964 | 0.8936473 | -2.0546240 | 111.32986 | 96 | 0.0116776 | 0.1356840 |
| Utility_4 | 0.8987338 | -1.7410066 | 0.8785894 | -2.2526897 | 128.46445 | 99 | 0.0159424 | 0.0248519 |
| Utility_5rc | 1.3782258 | 5.6383219 | 1.0128660 | 0.2673682 | 125.83880 | 109 | 0.0114859 | 0.1289980 |
| Utility_6 | 0.9682190 | -0.5777702 | 0.9456005 | -1.0904806 | 130.19154 | 114 | 0.0110132 | 0.1425248 |
| Utility_7 | 0.9817641 | -0.3558544 | 0.9509363 | -1.0735685 | 116.08069 | 119 | 0.0000000 | 0.5586237 |
| Utility_8rc | 1.0246479 | 0.4043017 | 0.9626254 | -0.7324305 | 130.12121 | 108 | 0.0132256 | 0.0724465 |
| Attain_4 | 0.8787158 | -3.0969432 | 0.8672025 | -3.5243977 | 76.48363 | 56 | 0.0176738 | 0.0358391 |
| Attain_5 | 0.8340862 | -2.6275243 | 0.8898803 | -1.8858899 | 93.92228 | 57 | 0.0235195 | 0.0015012 |
| Attain_6 | 0.5271114 | -11.5653944 | 0.5348379 | -12.4729606 | 87.98753 | 52 | 0.0243106 | 0.0013439 |
| Attain_7 | 0.9502676 | -1.5078928 | 0.9452052 | -1.6833969 | 78.25299 | 60 | 0.0161181 | 0.0568689 |
| Interest_1rc | 1.0426400 | 0.8422140 | 1.0067271 | 0.1710960 | 184.18455 | 155 | 0.0126804 | 0.0546919 |
| Interest_2 | 0.9307994 | -1.2323996 | 0.9161723 | -1.8322180 | 124.11891 | 120 | 0.0054140 | 0.3798707 |
| Interest_3rc | 0.9909853 | -0.1237327 | 0.9473488 | -1.1154879 | 112.86304 | 112 | 0.0025652 | 0.4593582 |
| Interest_4 | 0.9509119 | -0.9623967 | 0.9351820 | -1.4578056 | 139.53833 | 132 | 0.0069835 | 0.3098566 |
| Interest_5 | 0.7997963 | -1.7978818 | 0.8472844 | -3.2910023 | 112.13000 | 101 | 0.0097008 | 0.2111116 |
| Interest_6 | 0.9879636 | -0.2115414 | 0.9529608 | -1.0098010 | 182.97559 | 126 | 0.0196508 | 0.0006921 |
| Interest_7rc | 1.4446757 | 7.5886167 | 1.1750784 | 3.8081690 | 268.30384 | 147 | 0.0265461 | 0.0000000 |
| Interest_8rc | 1.2307166 | 3.8484623 | 0.9810139 | -0.4144565 | 157.56207 | 145 | 0.0086014 | 0.2247438 |
| Interest_9 | 0.9620632 | -0.7434025 | 0.9526698 | -1.0939677 | 135.88219 | 134 | 0.0034634 | 0.4383596 |
| item | outfit | z.outfit | infit | z.infit | S_X2 | df.S_X2 | RMSEA.S_X2 | p.S_X2 |
|---|---|---|---|---|---|---|---|---|
| AcadSC_1 | 1.0135368 | 0.1483109 | 0.9724579 | -0.2364549 | 102.51773 | 61 | 0.0240779 | 0.0006971 |
| AcadSC_2 | 0.9422364 | -1.0829594 | 0.9419922 | -1.1310974 | 77.82917 | 84 | 0.0000000 | 0.6687593 |
| AcadSC_3 | 0.9293060 | -1.0687019 | 0.9498574 | -0.7703811 | 74.24581 | 72 | 0.0051545 | 0.4048978 |
| AcadSC_4 | 0.9197887 | -1.4728625 | 0.9321519 | -1.2918976 | 80.72873 | 86 | 0.0000000 | 0.6403239 |
| AcadSC_5rc | 0.9996524 | 0.0068842 | 0.9584833 | -1.0370712 | 106.47552 | 101 | 0.0067954 | 0.3353357 |
| AcadSC_6 | 0.8905609 | -1.5702298 | 0.9373729 | -0.9589105 | 95.33037 | 78 | 0.0137570 | 0.0886976 |
| AcadSC_7rc | 0.8948377 | -1.5374508 | 0.8939398 | -1.8452567 | 73.69678 | 74 | 0.0000000 | 0.4880755 |
| AcadSC_8rc | 0.9574289 | -1.2357586 | 0.9596394 | -1.1942121 | 145.52925 | 109 | 0.0168956 | 0.0111361 |
| AcadSC_9rc | 0.8272627 | -2.0824669 | 0.9057011 | -1.4356420 | 88.62651 | 70 | 0.0150551 | 0.0657570 |
| Attain_3rc | 0.8248491 | -3.5129748 | 0.7991884 | -4.5515753 | 95.09032 | 70 | 0.0174731 | 0.0247303 |
| Attain_4 | 0.8281921 | -3.8941186 | 0.8294210 | -4.0057583 | 76.35291 | 70 | 0.0087923 | 0.2818165 |
| Attain_5 | 0.8827762 | -1.8759624 | 0.9153878 | -1.4547266 | 82.84614 | 71 | 0.0119213 | 0.1589242 |
| Attain_6 | 0.6744555 | -7.4512628 | 0.6936204 | -7.6782897 | 59.95878 | 66 | 0.0000000 | 0.6858984 |
| Attain_7 | 0.9854552 | -0.4671920 | 0.9822180 | -0.5754730 | 97.31106 | 86 | 0.0105845 | 0.1900709 |
| StatSC_1 | 0.9469441 | -1.0050758 | 0.9476705 | -1.1032146 | 121.36563 | 122 | 0.0000000 | 0.4991892 |
| StatSC_2 | 0.7898828 | -4.2473277 | 0.7966599 | -4.5179768 | 100.93881 | 102 | 0.0000000 | 0.5110969 |
| StatSC_3 | 0.8733246 | -2.1641293 | 0.9367211 | -1.1220970 | 147.51844 | 118 | 0.0145973 | 0.0340915 |
| StatSC_4rc | 0.7809108 | -3.7154255 | 0.8108177 | -4.3623962 | 108.43566 | 100 | 0.0084767 | 0.2652186 |
| StatSC_5rc | 0.8486758 | -2.5504583 | 0.9121291 | -1.7634856 | 134.04473 | 116 | 0.0115110 | 0.1206897 |
| StatSC_6 | 0.9352988 | -1.2699613 | 0.9627186 | -0.8021607 | 138.38401 | 144 | 0.0000000 | 0.6163476 |
| StatSC_7rc | 0.8968812 | -2.2054105 | 0.8760044 | -2.9107588 | 115.21881 | 110 | 0.0063570 | 0.3478142 |
| StatSC_8rc | 0.9031984 | -1.9813380 | 0.9045994 | -2.2687630 | 120.03544 | 119 | 0.0027224 | 0.4561557 |
| StatSC_9rc | 0.9056372 | -1.8125412 | 0.9636489 | -0.7427572 | 167.93364 | 130 | 0.0157655 | 0.0140235 |
| Difficult_1rc | 0.8909788 | -1.9600453 | 0.8999045 | -1.9586193 | 72.86696 | 63 | 0.0115501 | 0.1852302 |
| Difficult_2 | 0.9361260 | -1.6242493 | 0.9345141 | -1.7123319 | 87.94482 | 70 | 0.0147770 | 0.0723143 |
| Difficult_3 | 0.6972075 | -6.0852168 | 0.7280996 | -6.6251183 | 85.76426 | 53 | 0.0229471 | 0.0029304 |
| Difficult_6rc | 0.8405605 | -3.8083958 | 0.8579135 | -3.5524106 | 73.00161 | 61 | 0.0129456 | 0.1396281 |
| Difficult_7rc | 0.7289974 | -4.9178059 | 0.7621450 | -5.1911757 | 69.47166 | 54 | 0.0156220 | 0.0764665 |
| Expectancy_2 | 0.9674843 | -0.5328715 | 0.9497781 | -0.8692609 | 78.49411 | 77 | 0.0040655 | 0.4312087 |
| Expectancy_3 | 0.7855043 | -3.6931591 | 0.8642467 | -2.2655340 | 82.62984 | 69 | 0.0129714 | 0.1255846 |
| Expectancy_4 | 0.9126287 | -1.4695519 | 0.9364655 | -1.0767409 | 73.22474 | 76 | 0.0000000 | 0.5689218 |
| Expectancy_5 | 0.9230945 | -1.7690663 | 0.9208989 | -1.9118636 | 85.98018 | 94 | 0.0000000 | 0.7100119 |
| Expectancy_7 | 0.9860077 | -0.2870326 | 0.9552069 | -1.0227744 | 119.30105 | 93 | 0.0155207 | 0.0344049 |
| Expectancy_8 | 0.9241643 | -1.3000776 | 0.9138725 | -1.5748539 | 92.46814 | 83 | 0.0098573 | 0.2236424 |
| Expectancy_9 | 0.9236486 | -1.4927916 | 0.9101846 | -1.8772188 | 102.49405 | 89 | 0.0113643 | 0.1553410 |
| Expectancy_10 | 0.8902010 | -1.7003156 | 0.9289231 | -1.1898517 | 121.32323 | 91 | 0.0168474 | 0.0184993 |
| Cost_1 | 0.5941676 | -8.3828444 | 0.6151220 | -8.8057106 | 50.49347 | 47 | 0.0079569 | 0.3371768 |
| Cost_2 | 0.8301033 | -3.3262911 | 0.8109457 | -3.8626571 | 77.37900 | 49 | 0.0222109 | 0.0059971 |
| Cost_3rc | 1.0070825 | 0.1825691 | 0.9800951 | -0.4812412 | 76.52744 | 75 | 0.0041650 | 0.4292615 |
| Cost_4rc | 0.9612453 | -0.8691532 | 0.9338089 | -1.5476998 | 65.22785 | 68 | 0.0000000 | 0.5728432 |
| Cost_6 | 0.9054536 | -1.9991855 | 0.9066992 | -2.0979594 | 77.78479 | 63 | 0.0141385 | 0.0994654 |
| item | outfit | z.outfit | infit | z.infit | S_X2 | df.S_X2 | RMSEA.S_X2 | p.S_X2 |
|---|---|---|---|---|---|---|---|---|
| Belief_2rc | 0.5380197 | -12.9008757 | 0.5125231 | -14.4546993 | 73.30856 | 54 | 0.0174743 | 0.0412696 |
| Belief_4rc | 0.9891897 | -0.3267163 | 0.9876377 | -0.3764830 | 93.80026 | 60 | 0.0219334 | 0.0034412 |
| Belief_5rc | 0.9952998 | -0.1275334 | 0.9950669 | -0.1344265 | 64.97213 | 62 | 0.0063982 | 0.3735617 |
| Belief_10rc | 0.8657171 | -4.0312672 | 0.8688156 | -4.0202310 | 65.28083 | 57 | 0.0111384 | 0.2110809 |
| Attain_1rc | 0.9513506 | -1.2143176 | 0.9470148 | -1.3518452 | 79.45097 | 55 | 0.0194845 | 0.0171642 |
| Attain_2rc | 0.6114004 | -8.2235438 | 0.6401034 | -9.4286699 | 51.03996 | 47 | 0.0085676 | 0.3178680 |
| Attain_3rc | 0.6802487 | -6.2181098 | 0.6969834 | -6.6023848 | 82.90139 | 47 | 0.0255404 | 0.0009574 |
| Attain_4 | 0.8545637 | -3.5226468 | 0.8623666 | -3.4725524 | 56.40512 | 52 | 0.0085055 | 0.3137271 |
Now we plot tracelines.
Now we construct Wright Maps for Group 1.
Now we drop Belief 2, 4, 5, and 10.
## [1] "Belief"
##
Iteration: 1, Log-Lik: -10236.042, Max-Change: 1.89730
Iteration: 2, Log-Lik: -9996.770, Max-Change: 0.67992
Iteration: 3, Log-Lik: -9936.841, Max-Change: 0.24663
Iteration: 4, Log-Lik: -9914.178, Max-Change: 0.14474
Iteration: 5, Log-Lik: -9903.248, Max-Change: 0.13562
Iteration: 6, Log-Lik: -9897.638, Max-Change: 0.10366
Iteration: 7, Log-Lik: -9894.721, Max-Change: 0.08512
Iteration: 8, Log-Lik: -9893.091, Max-Change: 0.05911
Iteration: 9, Log-Lik: -9892.161, Max-Change: 0.02183
Iteration: 10, Log-Lik: -9891.828, Max-Change: 0.02016
Iteration: 11, Log-Lik: -9891.375, Max-Change: 0.01473
Iteration: 12, Log-Lik: -9891.137, Max-Change: 0.01089
Iteration: 13, Log-Lik: -9890.895, Max-Change: 0.00450
Iteration: 14, Log-Lik: -9890.870, Max-Change: 0.00301
Iteration: 15, Log-Lik: -9890.856, Max-Change: 0.00263
Iteration: 16, Log-Lik: -9890.837, Max-Change: 0.00207
Iteration: 17, Log-Lik: -9890.833, Max-Change: 0.00100
Iteration: 18, Log-Lik: -9890.832, Max-Change: 0.00078
Iteration: 19, Log-Lik: -9890.831, Max-Change: 0.00056
Iteration: 20, Log-Lik: -9890.831, Max-Change: 0.00036
Iteration: 21, Log-Lik: -9890.831, Max-Change: 0.00021
Iteration: 22, Log-Lik: -9890.831, Max-Change: 0.00017
Iteration: 23, Log-Lik: -9890.830, Max-Change: 0.00022
Iteration: 24, Log-Lik: -9890.830, Max-Change: 0.00008
## Data does not contain missing values. Continuing normally
## Sample size after row-wise response data removal: 1172
## Data does not contain missing values. Continuing normally
## Sample size after row-wise response data removal: 1172
Group 2 Wright Maps.
Now we drop Attain_7.
## [1] "Attain"
##
Iteration: 1, Log-Lik: -11774.892, Max-Change: 1.01678
Iteration: 2, Log-Lik: -11640.216, Max-Change: 0.85378
Iteration: 3, Log-Lik: -11602.052, Max-Change: 0.28053
Iteration: 4, Log-Lik: -11583.672, Max-Change: 0.21287
Iteration: 5, Log-Lik: -11576.236, Max-Change: 0.12501
Iteration: 6, Log-Lik: -11573.015, Max-Change: 0.10782
Iteration: 7, Log-Lik: -11570.243, Max-Change: 0.11848
Iteration: 8, Log-Lik: -11569.669, Max-Change: 0.05194
Iteration: 9, Log-Lik: -11569.382, Max-Change: 0.02579
Iteration: 10, Log-Lik: -11569.280, Max-Change: 0.02167
Iteration: 11, Log-Lik: -11569.199, Max-Change: 0.01558
Iteration: 12, Log-Lik: -11569.156, Max-Change: 0.01189
Iteration: 13, Log-Lik: -11569.109, Max-Change: 0.00335
Iteration: 14, Log-Lik: -11569.106, Max-Change: 0.00293
Iteration: 15, Log-Lik: -11569.105, Max-Change: 0.00500
Iteration: 16, Log-Lik: -11569.103, Max-Change: 0.00107
Iteration: 17, Log-Lik: -11569.102, Max-Change: 0.00022
Iteration: 18, Log-Lik: -11569.102, Max-Change: 0.00259
Iteration: 19, Log-Lik: -11569.102, Max-Change: 0.00086
Iteration: 20, Log-Lik: -11569.101, Max-Change: 0.00059
Iteration: 21, Log-Lik: -11569.101, Max-Change: 0.00031
Iteration: 22, Log-Lik: -11569.101, Max-Change: 0.00016
Iteration: 23, Log-Lik: -11569.101, Max-Change: 0.00055
Iteration: 24, Log-Lik: -11569.101, Max-Change: 0.00016
Iteration: 25, Log-Lik: -11569.101, Max-Change: 0.00011
Iteration: 26, Log-Lik: -11569.101, Max-Change: 0.00273
Iteration: 27, Log-Lik: -11569.101, Max-Change: 0.00039
Iteration: 28, Log-Lik: -11569.101, Max-Change: 0.00044
Iteration: 29, Log-Lik: -11569.101, Max-Change: 0.00009
## Data does not contain missing values. Continuing normally
## Sample size after row-wise response data removal: 1175
## Data does not contain missing values. Continuing normally
## Sample size after row-wise response data removal: 1175
Now we print tables of the Thurstonian Thresholds for the full IRT (without dropping any items).
## Item thur.b1 thur.b2 thur.b3 thur.b4 thur.b5
## 1 Belief_1 -2.5658771 -1.7590043 -1.266515385 -0.54101821 0.63155328
## 2 Belief_3rc -3.3021751 -2.4281971 -1.599055548 -1.02319017 -0.17425484
## 3 Belief_6 -2.9654232 -2.3309469 -1.800363005 -0.94369697 0.17009876
## 4 Belief_7 -3.3495683 -2.5372322 -2.050024353 -1.25220652 -0.27675759
## 5 Belief_8 -4.6370259 -3.7713983 -3.077528670 -2.17114017 -0.64154040
## 6 Belief_9 -2.7467633 -2.1137429 -1.662337413 -0.73415668 0.20991349
## 7 Intrinsic_1 -1.7930618 -1.1684843 -0.684660432 -0.11161104 0.73822854
## 8 Intrinsic_2 -2.2674681 -1.5043921 -1.028912471 -0.40871089 0.48211393
## 9 Intrinsic_3 -2.2570415 -1.4328364 -0.999739969 -0.27353717 0.61969758
## 10 Intrinsic_4 -2.1965583 -1.3686050 -0.870833903 -0.22792491 0.65526981
## 11 Intrinsic_5 -1.9999854 -1.2408798 -0.697240977 -0.00155098 0.92148049
## 12 Intrinsic_6 -1.4299482 -0.6034344 -0.084506850 0.54895758 1.36288038
## 13 Intrinsic_7 -2.3474732 -1.5375804 -1.085128232 -0.49696717 0.48538390
## 14 Extrinsic_1 -2.6982921 -1.7537461 -1.219030427 -0.58196013 0.46676887
## 15 Extrinsic_4 -2.2953042 -1.4260430 -0.895308255 -0.17694190 0.80507436
## 16 Extrinsic_5 -2.3207322 -1.4886624 -0.977598621 -0.36835122 0.54205087
## 17 Extrinsic_6 -1.9702883 -0.4920995 0.197113782 1.23150952 2.53882700
## 18 Extrinsic_7 -1.8183338 0.1952663 0.871315347 1.91338848 3.20070041
## 19 Extrinsic_8 -1.1520435 1.4297597 2.507406050 4.38257468 5.86264303
## 20 Utility_1 -2.2027968 -1.5541560 -1.139996385 -0.47745583 0.40346418
## 21 Utility_2 -2.9908434 -2.1375930 -1.530071537 -0.77898152 0.30900902
## 22 Utility_3rc -2.3826766 -1.9543346 -1.277472410 -0.68403816 -0.01051945
## 23 Utility_4 -2.6299883 -1.9427464 -1.488430014 -0.78476091 0.39559462
## 24 Utility_5rc -2.2929583 -1.6951772 -1.181082047 -0.57112115 0.17467872
## 25 Utility_6 -3.0254259 -2.0687187 -1.499479298 -0.66780478 0.50881135
## 26 Utility_7 -2.6245952 -1.6517254 -1.130619582 -0.22813003 0.92768852
## 27 Utility_8rc -3.1035632 -2.5022090 -1.770424385 -0.84750631 -0.23430892
## 28 Attain_5 -3.8573717 -3.0982139 -2.469779919 -1.76873341 -0.60630674
## 29 Attain_6 -1.8889477 -1.1278904 -0.721389748 -0.12650827 0.73816203
## 30 Attain_7 -3.6707922 -1.4411719 -0.441392413 0.65791952 2.34779903
## 31 Interest_1rc -1.3575360 -0.5388929 0.405679420 0.87784509 1.44833747
## 32 Interest_2 -1.5058684 -0.7560444 -0.264335579 0.28664540 1.03406725
## 33 Interest_3rc -1.3124386 -0.5711358 0.125753918 0.58115965 1.16910984
## 34 Interest_4 -1.6852040 -0.8137847 -0.340953876 0.28855395 1.14496813
## 35 Interest_5 -0.9246366 -0.2841907 0.198197794 0.74692566 1.45353893
## 36 Interest_6 -1.7512047 -0.9622286 -0.456032149 0.06946371 1.00459833
## 37 Interest_7rc -1.4283871 -0.5706606 0.163745794 0.71133770 1.36495502
## 38 Interest_8rc -1.3669907 -0.7974456 -0.200851529 0.38001169 0.83301209
## 39 Interest_9 -1.4587080 -0.5384727 -0.009001622 0.72462548 1.55905177
## thur.b6
## 1 2.0030669
## 2 1.2924869
## 3 1.5229117
## 4 1.1077984
## 5 1.2963095
## 6 1.5997355
## 7 1.8831100
## 8 1.6789959
## 9 1.7938769
## 10 1.8836178
## 11 2.1677658
## 12 2.4188763
## 13 1.7355342
## 14 1.7618592
## 15 2.0507009
## 16 1.5961227
## 17 4.3009686
## 18 4.9346944
## 19 7.5307426
## 20 1.5384891
## 21 1.7614740
## 22 1.0769370
## 23 1.7590945
## 24 1.3517284
## 25 2.0315166
## 26 2.4124099
## 27 0.8463854
## 28 1.0404742
## 29 1.7505387
## 30 4.2109482
## 31 2.6514122
## 32 1.9726461
## 33 2.0879580
## 34 2.1575654
## 35 2.3110526
## 36 2.0616872
## 37 2.3695542
## 38 1.8440287
## 39 2.7496425
## Item thur.b1 thur.b2 thur.b3 thur.b4 thur.b5
## 1 AcadSC_1 -6.868874 -5.5667603 -4.91838786 -3.97304408 -2.90554402
## 2 AcadSC_2 -4.187392 -3.0394674 -1.98004249 -1.21944517 0.23448040
## 3 AcadSC_3 -4.431019 -3.3995194 -2.55701260 -1.89349207 -0.59856088
## 4 AcadSC_4 -3.980458 -3.0778043 -2.11879598 -1.19452879 0.08112571
## 5 AcadSC_5rc -3.466523 -2.1637710 -0.97082500 -0.40832689 0.45790244
## 6 AcadSC_6 -5.199197 -4.3425277 -3.31209012 -2.30908186 -1.15812124
## 7 AcadSC_7rc -2.955267 -2.4067372 -1.70124173 -1.15501850 -0.40551770
## 8 AcadSC_8rc -3.615423 -1.8431420 -0.18473196 0.47537041 1.66984943
## 9 AcadSC_9rc -3.255408 -2.7874386 -2.10231052 -1.54207977 -0.80964347
## 10 Attain_3rc -2.803979 -2.1288376 -1.29938271 -0.60193974 0.12932407
## 11 Attain_4 -2.740938 -1.7406733 -1.18233111 -0.06136894 0.97802501
## 12 Attain_5 -5.374913 -3.7622888 -3.02392913 -2.12510384 -0.80223388
## 13 Attain_6 -2.140406 -1.2744669 -0.79993947 -0.17165102 0.66059945
## 14 Attain_7 -6.762962 -2.4611750 -0.90579505 0.78975153 3.50199541
## 15 StatSC_1 -3.147248 -1.9863027 -1.22180976 -0.60334191 0.78669572
## 16 StatSC_2 -1.899537 -1.2176339 -0.63165085 0.08450225 1.07747400
## 17 StatSC_3 -5.152399 -3.4577901 -2.57286247 -1.82668687 -0.36765311
## 18 StatSC_4rc -1.512790 -0.8647754 -0.16405718 0.18896708 0.82342691
## 19 StatSC_5rc -2.642763 -2.0361271 -1.31601081 -0.69078211 -0.06367886
## 20 StatSC_6 -3.490907 -2.4087937 -1.61869277 -0.87681487 0.21547456
## 21 StatSC_7rc -2.111235 -1.3209732 -0.34794658 0.14994355 1.01674907
## 22 StatSC_8rc -1.593015 -0.5044445 0.39862681 0.86408295 1.54100835
## 23 StatSC_9rc -4.276312 -3.2833114 -1.91782257 -1.14897684 -0.04617113
## 24 Difficult_1rc -1.214422 0.1214875 1.31527299 2.01560939 2.81519631
## 25 Difficult_2 -2.881075 -1.5578485 -0.32211561 0.37440515 1.77697065
## 26 Difficult_3 -1.222122 -0.4194637 0.21936571 0.76740539 1.71885828
## 27 Difficult_6rc -2.441866 -1.2022296 -0.08059242 0.52931387 1.33142394
## 28 Difficult_7rc -1.148926 -0.1446473 0.71706569 1.12227028 1.75121973
## 29 Expectancy_2 -3.435214 -2.4786212 -1.76034507 -1.00140512 0.46220849
## 30 Expectancy_3 -3.593768 -2.6549370 -2.20299723 -1.36379143 -0.14977758
## 31 Expectancy_4 -3.869385 -2.9824659 -2.07195299 -1.43860667 0.04364822
## 32 Expectancy_5 -3.484202 -1.9305818 -1.00343610 -0.18925096 1.27837523
## 33 Expectancy_7 -3.302408 -2.1510744 -1.33587072 -0.38223478 0.96381114
## 34 Expectancy_8 -3.483295 -2.5046345 -1.77635043 -1.09208764 0.23278906
## 35 Expectancy_9 -3.227405 -2.2571611 -1.34253549 -0.57766240 0.87772658
## 36 Expectancy_10 -5.256579 -4.1793493 -3.21327144 -2.29208306 -0.85906883
## 37 Cost_1 -1.906663 -1.4078860 -0.82607443 -0.14804592 0.59444631
## 38 Cost_2 -2.644120 -1.9264084 -1.28872068 -0.58195834 0.35128627
## 39 Cost_3rc -2.377973 -0.6732168 0.65702980 1.88461371 2.96865899
## 40 Cost_4rc -2.085668 -1.1780827 -0.35996723 0.62837481 1.34852327
## 41 Cost_6 -2.001909 -1.2061949 -0.58899774 0.13575510 1.01171494
## thur.b6
## 1 -0.9777819
## 2 1.7698102
## 3 1.2616252
## 4 1.7085889
## 5 2.1595832
## 6 0.7197553
## 7 0.9563711
## 8 3.8637218
## 9 0.5684665
## 10 1.5946149
## 11 2.4671569
## 12 1.0457033
## 13 1.8628740
## 14 6.8095491
## 15 2.6440093
## 16 2.5016405
## 17 1.4487933
## 18 2.0648395
## 19 1.2351389
## 20 1.8050558
## 21 2.5578580
## 22 2.9335077
## 23 1.9959757
## 24 4.2194624
## 25 3.6984963
## 26 2.8178412
## 27 2.7683832
## 28 2.7069771
## 29 2.2539672
## 30 1.4468737
## 31 1.7159257
## 32 2.9245790
## 33 2.7947699
## 34 1.9137034
## 35 2.6275064
## 36 0.7748416
## 37 1.6790764
## 38 1.5633697
## 39 5.3585900
## 40 2.6251881
## 41 2.2126824
Now we print the coefficients.
## a1 d1 d2 d3 d4 d5
## Belief_1 1.9253035 4.9400920 3.3866171 2.43842645 1.041624227 -1.2159317
## Belief_3rc 1.5389664 5.0819366 3.7369138 2.46089276 1.574655294 0.2681723
## Belief_6 2.0732219 6.1479803 4.8325703 3.73255204 1.956493236 -0.3526525
## Belief_7 2.0269016 6.7892453 5.1427198 4.15519757 2.538099348 0.5609604
## Belief_8 1.2813343 5.9415805 4.8324222 3.94334318 2.781956467 0.8220277
## Belief_9 2.0324786 5.5827375 4.2961370 3.37866516 1.492157709 -0.4266447
## Intrinsic_1 2.4529986 4.3983781 2.8662903 1.67947107 0.273781718 -1.8108736
## Intrinsic_2 1.9585800 4.4410176 2.9464722 2.01520737 0.800492977 -0.9442587
## Intrinsic_3 2.5811649 5.8257962 3.6983871 2.58049369 0.706044544 -1.5995416
## Intrinsic_4 2.3674229 5.2001824 3.2400667 2.06163210 0.539594638 -1.5513007
## Intrinsic_5 2.3253321 4.6506303 2.8854577 1.62131682 0.003606543 -2.1427481
## Intrinsic_6 2.1156681 3.0252958 1.2766669 0.17878844 -1.161412030 -2.8834025
## Intrinsic_7 2.1665513 5.0859211 3.3312469 2.35098600 1.076704871 -1.0516091
## Extrinsic_1 1.8677269 5.0396727 3.2755186 2.27681589 1.086942578 -0.8717968
## Extrinsic_4 2.1467938 4.9275449 3.0614204 1.92204224 0.379857781 -1.7283287
## Extrinsic_5 2.5661552 5.9553590 3.8201389 2.50866980 0.945246395 -1.3909867
## Extrinsic_6 1.1101699 2.1873548 0.5463140 -0.21882979 -1.367184824 -2.8185294
## Extrinsic_7 0.7536383 1.3703660 -0.1471602 -0.65665662 -1.442002847 -2.4121704
## Extrinsic_8 0.5978452 0.6887436 -0.8547749 -1.49904055 -2.620101025 -3.5049527
## Utility_1 2.4030272 5.2933806 3.7346793 2.73944236 1.147339354 -0.9695354
## Utility_2 1.5667672 4.6859553 3.3491105 2.39726589 1.220482692 -0.4841452
## Utility_3rc 2.5427461 6.0585416 4.9693766 3.24828803 1.739335396 0.0267483
## Utility_4 2.0661300 5.4338979 4.0139667 3.07528996 1.621418086 -0.8173499
## Utility_5rc 2.2359537 5.1269486 3.7903377 2.64084472 1.277000428 -0.3905735
## Utility_6 1.5903880 4.8116011 3.2900655 2.38475390 1.062068711 -0.8092075
## Utility_7 1.5772154 4.1395519 2.6051267 1.78323060 0.359810200 -1.4631646
## Utility_8rc 1.7487403 5.4273260 4.3757137 3.09601243 1.482068421 0.4097455
## Attain_5 1.1714942 4.5188886 3.6295397 2.89333288 2.072060944 0.7102848
## Attain_6 2.1900968 4.1369784 2.4701892 1.57991341 0.277065353 -1.6166463
## Attain_7 0.7236812 2.6564834 1.0429490 0.31942741 -0.476124009 -1.6990581
## Interest_1rc 1.7522446 2.3787351 0.9442722 -0.71084959 -1.538199361 -2.5378416
## Interest_2 2.8062974 4.2259146 2.1216853 0.74180424 -0.804412222 -2.9019002
## Interest_3rc 3.0437762 3.9947694 1.7384096 -0.38276678 -1.768919912 -3.5585087
## Interest_4 2.3171245 3.9048273 1.8856403 0.79003257 -0.668615423 -2.6530337
## Interest_5 3.5817560 3.3118228 1.0179019 -0.70989615 -2.675305497 -5.2062218
## Interest_6 2.4937838 4.3671260 2.3995902 1.13724560 -0.173227471 -2.5052511
## Interest_7rc 2.0128734 2.8751624 1.1486674 -0.32959955 -1.431832733 -2.7474817
## Interest_8rc 2.3040071 3.1495562 1.8373203 0.46276335 -0.875549626 -1.9192658
## Interest_9 2.0619484 3.0077805 1.1103028 0.01856088 -1.494140313 -3.2146842
## d6
## Belief_1 -3.856512
## Belief_3rc -1.989094
## Belief_6 -3.157334
## Belief_7 -2.245398
## Belief_8 -1.661006
## Belief_9 -3.251428
## Intrinsic_1 -4.619266
## Intrinsic_2 -3.288448
## Intrinsic_3 -4.630292
## Intrinsic_4 -4.459320
## Intrinsic_5 -5.040775
## Intrinsic_6 -5.117539
## Intrinsic_7 -3.760124
## Extrinsic_1 -3.290672
## Extrinsic_4 -4.402432
## Extrinsic_5 -4.095899
## Extrinsic_6 -4.774806
## Extrinsic_7 -3.718975
## Extrinsic_8 -4.502218
## Utility_1 -3.697031
## Utility_2 -2.759820
## Utility_3rc -2.738377
## Utility_4 -3.634518
## Utility_5rc -3.022402
## Utility_6 -3.230900
## Utility_7 -3.804890
## Utility_8rc -1.480108
## Attain_5 -1.218909
## Attain_6 -3.833849
## Attain_7 -3.047384
## Interest_1rc -4.645923
## Interest_2 -5.535832
## Interest_3rc -6.355277
## Interest_4 -4.999348
## Interest_5 -8.277627
## Interest_6 -5.141402
## Interest_7rc -4.769613
## Interest_8rc -4.248655
## Interest_9 -5.669621
## a1 d1 d2 d3 d4 d5
## AcadSC_1 0.9327354 6.406842 5.1923145 4.5875545 3.70579892 2.71010381
## AcadSC_2 1.4498134 6.070938 4.4066606 2.8706922 1.76796801 -0.33995283
## AcadSC_3 1.6139382 7.151392 5.4866143 4.1268603 3.05597918 0.96604026
## AcadSC_4 1.4307153 5.694903 4.4034618 3.0313939 1.70903067 -0.11606780
## AcadSC_5rc 1.3710745 4.752861 2.9666913 1.3310734 0.55984659 -0.62781836
## AcadSC_6 1.2271753 6.380326 5.3290428 4.0645153 2.83364828 1.42121781
## AcadSC_7rc 2.4653915 7.285891 5.9335495 4.1942270 2.84757283 0.99975990
## AcadSC_8rc 0.8626157 3.118721 1.5899233 0.1593527 -0.41006199 -1.44043837
## AcadSC_9rc 2.2631641 7.367522 6.3084310 4.7578738 3.48997966 1.83235608
## Attain_3rc 1.6630726 4.663220 3.5404115 2.1609677 1.00106947 -0.21507532
## Attain_4 1.4945447 4.096455 2.6015141 1.7670467 0.09171863 -1.46170210
## Attain_5 1.0231909 5.499562 3.8495395 3.0940566 2.17438682 0.82083837
## Attain_6 2.0278721 4.340469 2.5844559 1.6221749 0.34808630 -1.33961118
## Attain_7 0.4441940 3.004067 1.0932392 0.4023487 -0.35080290 -1.55556538
## StatSC_1 1.5864720 4.993021 3.1512138 1.9383670 0.95718507 -1.24807077
## StatSC_2 2.6617187 5.056034 3.2409989 1.6812769 -0.22492123 -2.86793268
## StatSC_3 1.2567794 6.475429 4.3456794 3.2335206 2.29574248 0.46205887
## StatSC_4rc 2.8804994 4.357590 2.4909850 0.4725666 -0.54431954 -2.37188072
## StatSC_5rc 2.1061126 5.565955 4.2883128 2.7716669 1.45486487 0.13411484
## StatSC_6 1.2342336 4.308594 2.9730140 1.9978449 1.08219433 -0.26594593
## StatSC_7rc 2.2386327 4.726280 2.9571738 0.7789246 -0.33566853 -2.27612771
## StatSC_8rc 1.7994247 2.866511 0.9077098 -0.7172989 -1.55485220 -2.77292848
## StatSC_9rc 1.1979285 5.122717 3.9331723 2.2974143 1.37639210 0.05530972
## Difficult_1rc 1.5772565 1.915455 -0.1916170 -2.0745228 -3.17913294 -4.44028658
## Difficult_2 1.2495426 3.600026 1.9465981 0.4024972 -0.46783518 -2.22040054
## Difficult_3 2.5884184 3.163362 1.0857475 -0.5678102 -1.98636619 -4.44912433
## Difficult_6rc 1.8235849 4.452950 2.1923678 0.1469671 -0.96524878 -2.42796459
## Difficult_7rc 2.5313794 2.908367 0.3661572 -1.8151653 -2.84089191 -4.43300159
## Expectancy_2 1.8626684 6.398664 4.6168492 3.2789391 1.86528563 -0.86094112
## Expectancy_3 2.1225974 7.628122 5.6353624 4.6760761 2.89478011 0.31791749
## Expectancy_4 1.7212294 6.660100 5.1335081 3.5663064 2.47617212 -0.07512859
## Expectancy_5 1.3492331 4.701000 2.6048049 1.3538692 0.25534367 -1.72482619
## Expectancy_7 1.1946574 3.945246 2.5697970 1.5959078 0.45663961 -1.15142412
## Expectancy_8 1.6838797 5.865451 4.2175032 2.9911605 1.83894421 -0.39198878
## Expectancy_9 1.5346904 4.953068 3.4640434 2.0603764 0.88653296 -1.34703858
## Expectancy_10 1.0255559 5.390915 4.2861562 3.2953894 2.35065923 0.88102309
## Cost_1 3.8835484 7.404616 5.4675936 3.2081000 0.57494351 -2.30856103
## Cost_2 2.7238615 7.202218 5.2472696 3.5102966 1.58517389 -0.95685515
## Cost_3rc 0.9505766 2.260445 0.6399442 -0.6245571 -1.79146966 -2.82193772
## Cost_4rc 1.7480508 3.645854 2.0593484 0.6292410 -1.09843111 -2.35728723
## Cost_6 2.2274619 4.459176 2.6867533 1.3119700 -0.30238931 -2.25355650
## d6
## AcadSC_1 0.9120118
## AcadSC_2 -2.5658946
## AcadSC_3 -2.0361851
## AcadSC_4 -2.4445043
## AcadSC_5rc -2.9609495
## AcadSC_6 -0.8832660
## AcadSC_7rc -2.3578292
## AcadSC_8rc -3.3329072
## AcadSC_9rc -1.2865330
## Attain_3rc -2.6519603
## Attain_4 -3.6872762
## Attain_5 -1.0699541
## Attain_6 -3.7776702
## Attain_7 -3.0247609
## StatSC_1 -4.1946469
## StatSC_2 -6.6586633
## StatSC_3 -1.8208136
## StatSC_4rc -5.9477689
## StatSC_5rc -2.6013415
## StatSC_6 -2.2278605
## StatSC_7rc -5.7261046
## StatSC_8rc -5.2786263
## StatSC_9rc -2.3910361
## Difficult_1rc -6.6551744
## Difficult_2 -4.6214287
## Difficult_3 -7.2937518
## Difficult_6rc -5.0483818
## Difficult_7rc -6.8523861
## Expectancy_2 -4.1983934
## Expectancy_3 -3.0711302
## Expectancy_4 -2.9535018
## Expectancy_5 -3.9459388
## Expectancy_7 -3.3387926
## Expectancy_8 -3.2224464
## Expectancy_9 -4.0324089
## Expectancy_10 -0.7946433
## Cost_1 -6.5207743
## Cost_2 -4.2584025
## Cost_3rc -5.0937502
## Cost_4rc -4.5889623
## Cost_6 -4.9286657